Bengali Speech Audio from Common Voice with Preprocessing

A preprocessed subset of the Common Voice dataset containing Bengali speech audio, uploaded by user Lancelot53 to Hugging Face in July 2022. The data has undergone trimming and other preprocessing steps. It is part of the Common Voice initiative, a global project for collecting open-source speech data.

Use Cases

• Train an ASR model to transcribe Bengali speech using the preprocessed audio clips and their corresponding text transcripts.
• Benchmark audio preprocessing techniques like trimming silence by comparing model performance on this dataset versus raw audio.
• Analyze speaker demographics and accent variations within the Bengali language using metadata such as age and gender, if available in the source Common Voice data.
• Fine-tune a multilingual speech model on a specific language corpus using the preprocessed Bengali audio samples.

Strengths

• Preprocessed for machine learning, including trimming operations to remove silence.
• Derived from the Common Voice project, a known source for open, crowdsourced speech data.

Limitations

• Specific row count, audio duration, and preprocessing details are unknown.
• Dataset is from 2022 and may not reflect the latest version of the source Common Voice corpus.
• Potential geographic or demographic bias inherent in the original crowdsourced collection.

Provenance

Source

Mozilla Common Voice project

Collection Method

Crowdsourced collection, with subsequent user preprocessing (trimming).

Freshness

Last updated on Hugging Face in July 2022.

Geography

Likely global, focusing on Bengali speakers.